Job Description
The Senior Quantitative Risk Analyst position will report to Senior Risk Analytics Manager. As the Senior Quantitative Risk Analyst, you will: • Lead loss forecasting by leveraging data science models and applying business overlays to project portfolio performance. • Monitor and analyze credit metrics across multiple loan products, identifying key risks, trends, and opportunities. • Prepare and present portfolio forecasts and credit/fraud performance updates to executives, the Board, and rating agencies. • Validate and challenge credit and fraud risk models to ensure methodological soundness, transparency, and regulatory compliance. • Partner cross-functionally with Finance, Capital Markets, and Data Science to align risk insights with business strategy. About You: • 3+ years in a data-driven role, ideally within credit or fraud risk. • Strong proficiency in SQL for data extraction and Python for statistical modeling and analysis. • Experience with loss forecasting, particularly in consumer lending products. • Skilled in data visualization and BI tools (e.g., Looker, Tableau) as well as Excel and PowerPoint. • Strong analytical thinker with excellent communication and presentation abilities. • Detail-oriented, intellectually curious, and able to manage multiple priorities under tight deadlines. Even Better: • Experience in student loans, personal loans, or credit cards. • Familiarity with regulatory compliance in the lending industry. • Prior exposure to risk model development or enhancement. • Background in efficiency improvements and automation. • Ability to independently research and implement innovative modeling approaches. Where: • This role will be based in the US. #LI-KB1 Apply tot his job
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